INTERPRET
Introduction to the INTERPRET Framework The INTERPRET framework represents a significant advancement in computational social science, specifically addressing the challenge of modeling and understanding complex human interactions through the lens of machine learning. Proposed by Zhang and Chen in 2020, INTERPRET is designed not merely to classify behavioral data but to provide an interpretable and […]